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Description Brego is an automotive technology company using AI and data analytics to help dealerships, lenders, and other industry partners make better vehicle valuation, pricing, and risk decisions. Working at the intersection of software, data, and decision-making, the team focuses on turning complex information into practical products that support smarter outcomes across the automotive market. As a Lead Data Scientist, you will take ownership of the AI (custom neural networks rather than third-party LLM technology) and machine learning capabilities behind products that influence high-value pricing and risk decisions. This is a hands-on technical leadership role where you will be responsible for designing, building, deploying, and continuously improving production machine learning systems from end to end. You will own the full lifecycle of models, from feature engineering and training through deployment, monitoring, retraining, and ongoing optimisation, working independently while collaborating closely with engineering and product teams to deliver measurable business impact. • Own the end-to-end lifecycle of production machine learning models, from problem definition through deployment and ongoing optimisation., • Design, build and deploy artificial neural network and machine learning models for vehicle valuation, pricing and other analytics., • Take responsibility for production model performance, reliability and long-term maintenance., • Evaluate model performance and improve predictive accuracy across production models., • Develop and maintain automated retraining pipelines to keep models effective over time., • Monitor deployed models, investigate issues and implement improvements to ensure models remain accurate and reliable., • Design and run experiments, track results and use data to drive model improvements., • Work closely with engineering and product teams to integrate models into production systems and deliver business value. Requirements Must have: • 5+ years of experience building and deploying machine learning models in production environments., • Strong experience developing and training neural networks for real-world applications., • Strong experience with the Python data science ecosystem, including pandas, NumPy and scikit-learn., • Hands-on experience with PyTorch or TensorFlow., • Strong understanding of machine learning, statistics, and model evaluation methodologies., • Experience taking machine learning models from concept through deployment and ongoing production ownership., • Experience evaluating model performance, improving predictive accuracy, and maintaining retraining pipelines, model monitoring, and experiment tracking., • Experience with feature engineering and working with large, real-world datasets., • Experience writing clean, maintainable, production-quality Python code., • Experience with SQL for data analysis and data manipulation., • Experience deploying ML workloads in cloud environments., • Ability to independently own technical projects and make sound engineering decisions with minimal supervision., • Strong problem-solving skills with the ability to investigate complex data and modelling challenges., • Strong communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders., • Experience collaborating with software engineers, product managers, and data engineers., • Eligible to work in the UK. Nice to have: • Experience in the automotive industry or with vehicle data., • Experience in pricing, forecasting, risk modelling, or other predictive analytics domains., • Experience with MLOps tooling and infrastructure., • Experience building automated data and model pipelines., • Experience mentoring or providing technical leadership to other data scientists or engineers. Benefits • Competitive salary of £90,000 - £110,000 per year, depending on experience., • Private healthcare., • Pension scheme., • Fully remote role with flexible working hours., • Working from home allowance., • Choice of Apple MacBook Pro or high-spec Windows workstation., • Learning and progression opportunities., • Optional access to our Silverstone office. The team usually meets there around one day per week, but attendance is entirely optional., • High levels of ownership and autonomy with the opportunity to shape the company’s AI strategy., • Collaborative, low-bureaucracy engineering culture that values autonomy, integrity and innovation., • Regular company social events., • 25 days annual leave plus 3 additional days between Christmas and New Year.

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with or self-managed with the , both featuring scalable metrics (), logs (), and traces (_). We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are looking for candidates in the NASA (EST-only) or EMEA time zones. What is Grafana Cloud? Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack. The Observability department is focused on enabling developers to understand the health and performance of their applications and infrastructure in any environment by providing tools to instrument their code, ingest observability data into Grafana Cloud and visualize and explore it. What is Grafana Alloy? Alloy is a distribution of the OpenTelemetry collector. Its purpose is to collect, process, and export telemetry signals at scale. Alloy combines the strength of leading ecosystems like OpenTelemetry, Prometheus, Loki, Pyroscope, and more. Alloy is an open source project that is maintained on Github. What You'll Be Doing: • Manage and develop the team of Alloy engineers, providing regular feedback and supporting each person’s growth through career conversations. This is a remote team, distributed between EMEA and NASA., • Support the Alloy team on their path to closer collaboration with the OpenTelemetry collector community. Address roadblocks., • Collaborate closely with go-to-market to ensure customers and prospects are successful with their Alloy journey., • Work closely with product and engineering leadership to ensure Alloy fits seamlessly into the end-to-end user experience for Grafana cloud products., • Provide guidance throughout the project lifecycle from early ideation through planning, execution and post‑launch guiding the team to deliver high‑quality results consistently., • Foster a psychologically safe environment where engineers can learn, experiment and iterate quickly, encouraging innovation and a culture of continuous improvement., • Work across team boundaries by contributing to projects outside your team’s scope and partnering with other functions to solve customer problems. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5.4, Claude Opus 4.7, Gemini 3 Pro). What are we looking for in you? • You should have enough domain knowledge in observability and OpenTelemetry to manage a team that will collaborate closely with the OpenTelemetry collector community., • You will be comfortable working with engineering teams who have a strong sense of autonomy in their decision-making, be it technical or product focused., • While you’re great with people and adept at managing relationships, you still keep up-to-date with the latest technical trends and shifts in order to maintain and enhance your understanding of the challenges your teams face., • Comfortable collaborating across time zones and cultures in a fully remote environment, using clear, empathetic communication to build trust, connection, and psychological safety., • Demonstrated ability to manage complexity, align stakeholders, and elevate team performance to deliver meaningful, high-quality results., • Deeply customer-focused, consistently grounding decisions and technical choices in user needs and real-world impact., • Solid understanding of distributed systems principles, including scalability, fault tolerance, consistency, and observability. Comfort with AI-assisted tooling. We embrace AI and agentic development so we expect you to be curious and comfortable using AI-powered tools and ideally have practical experience folding them into a team’s workflow. In the UK, the Base compensation range for this role is GBP 103,709 - GBP 124,651. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed _. #LI-Remote *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Mid & Senior Backend Engineer (Go) | Drug discovery Platform, AI | Fully Remote, EU /UK| Base Salary Up to £110,000, plus early equity, benefits I am currently partnering with an elite engineering team building a world-class platform for decentralised and federated computing. They are solving one of the most complex challenges in modern tech: how to process highly sensitive data across global organisations without ever compromising privacy. They are looking for a Senior Backend Engineer who wants to move beyond standard applications and help architect the infrastructure for the next generation of secure data collaboration. This is a high-autonomy role where you will own the technical design and lifecycle of production services used by some of the world’s largest pharmaceutical and data-intensive enterprises. Responsibilities for the Mid & Senior Backend Engineer (Go) | Drug discovery Platform, AI | Fully Remote, EU /UK| Base Salary Up to £110,000, plus early equity, benefits • Design and evolve high-performance backend systems and APIs, primarily using Golang, with Python integrated for specific domain-driven logic., • Build and operate software that bridges the gap between Cloud and On-premise environments, utilising Docker and Kubernetes as the backbone for portable, secure workloads., • Take full-spectrum responsibility for features, from the initial architectural blueprint to production monitoring and scaling., • Enhance the observability, performance, and security of services running in distributed, resource-intensive environments where data integrity is paramount., • Work at the intersection of Engineering, ML, and Product to build cohesive, secure systems that enable "AI for good" on a global scale., • Actively experiment with AI-assisted workflows and emerging developer tools to maintain a peak-efficiency development lifecycle., • Lead by example through high-quality execution and active participation in rigorous code reviews to uphold engineering standards. Requirements for the Mid & Senior Backend Engineer (Go) | Drug discovery Platform, AI | Fully Remote, EU /UK| Base Salary Up to £110,000, plus early equity, benefits • 4+ years of professional experience with a heavy emphasis on building resilient, production-grade backend systems., • Expert-level Golang skills and the ability to leverage Python effectively within complex problem domains., • A proven track record of deploying and debugging cloud-native workloads via Kubernetes and Docker., • Experience with AWS (or similar) and a comfort level working with the unique challenges of hybrid or on-premise deployments., • A strong practitioner of testing strategies, code maintainability, and secure API design., • You thrive in fast-paced, iterative environments where you can influence technical direction and navigate pragmatic trade-offs., • Fluency in English and a strong sense of accountability for technical outcomes and long-term maintainability. What is in it for you? Mid & Senior Backend Engineer (Go) | Drug discovery Platform, AI | Fully Remote, EU /UK| Base Salary Up to £110,000, plus early equity, benefits • Competitive salary plus early-stage share options in a scaling deep-tech startup., • A remote-first culture allowing you to work from home or a local co-working space., • Comprehensive benefits including budgets for wellbeing, mental health, and home-office setups., • Dedicated stipend for co-working and a budget for continuous learning and development., • Generous holiday allowance., • Regular team summits held at their European headquarters or other international locations. If you think you are a good match for the Backend Engineer (Go) | Drug discovery Platform, AI | Fully Remote, EU /UK| Base Salary Up to £110,000, plus early equity, benefits - Drop over a CV and we will give you a call if we think you are a match!

Establish the design system on a modern framework and build the entire frontend for five portals plus EdTech Hub. Build all 5 portals and EdTech Hub frontend from scratch. You actively explore the evolving frontend landscape and experiment with new approaches.

Role Purpose We're looking for a driven and technically strong SEO Manager who thrives on the challenge that organic search presents, isn't afraid to try new approaches, and has a track record of delivering growth for clients. You'll be adept at all aspects of SEO strategy and confident in AI-powered search optimisation, with the ability to inspire confidence in both clients and the team around you. We are a people-first agency and the person we are looking for must have a passion for people, knowing how to adapt their approach for different audiences and always bring empathy to every situation. Working as part of an integrated Media department, you'll be empowered to deliver clear strategies that drive real business growth for clients, collaborating with specialists across content, PR and social to support on-site activity. As SEO Manager, you'll lead on client strategies covering each area of search performance, technical, content and amplification and emerging AI platforms, to consistently drive growth, planning quarterly and annual objectives for clients based on their business challenges and communicating how they can achieve these in line with budgets. You’ll be expected to be able to pull together cross-channel proposals with multi-discipline teams. A key part of this role is staying ahead of how search is evolving. AI is reshaping how search, with AI platforms increasingly influencing brand visibility. You will help clients navigate and capitalise on this shift as part of their search strategy. This role would suit someone with experience in a dynamic agency environment and a strong background in technical SEO who is excited about where search is heading. Key Responsibilities: • Build client SEO strategies incorporating on-site and earned media actions, with the ability to recommend alternative or additional channels where required, • Lead GEO visibility strategy for clients, developing approaches to ensure brands are cited and represented within AI-generated search results across platforms such as ChatGPT, Perplexity, Gemini and Google AI Overviews, • Analyse and report on the impact of SEO strategies, including tying specific tactics back to performance changes, through monthly reports and strategy evolution, • Present results to clients in monthly, all-agency and board meetings, winning confidence and developing long-term relationships, • Integrate client strategies across Organic Media to drive consistent outcomes across content, PR and SEO activity, • Manage budgets and create monthly and quarterly activity plans, alongside resource planning within your client teams, • Ability to use AI tools to improve the efficiency and quality of your own work, from research and analysis to reporting and content workflows, • Collaborate with the team to improve the agencies Organic Media offering, including tools, processes and integration across digital channels Skills Required: • In-depth knowledge of organic search, including technical optimisation, content strategy, off-site and PR, • Understanding of AI and LLM search optimisation, including how large language models source and cite content, entity-based SEO, structured data, and strategies to improve brand visibility in generative AI results (GEO), • Proficiency across core SEO tools including Semrush or Ahrefs, Screaming Frog, Google Search Console, GA4, and Looker Studio., • Confident using AI tools (such as ChatGPT, Claude or similar) as part of day-to-day workflows, for research, analysis, briefing and operational efficiency, • Strategic thinking at all times, building integration into all approaches and strategies, • Strong strategy and project management experience, • Experience in line management of junior team members, including personal development planning and execution., • Commercial awareness, including budgeting, resource planning and financial reconciliation of clients, • Data gathering and analysis, pulling insight from data to power recommendations, • A willingness to experiment, learn, refine and adapt in a fast-moving discipline, • Strong presentation skills including storytelling, insight vs. data, and confident delivery Benefits We're committed to our people. You'll receive a competitive benefits package including: • 25 days of holiday (increasing by one day per year of service up to 30), plus bank holidays, • Healthcare cash plan, • A generous company pension scheme, • Life assurance cover, • A truly flexible, hybrid working model, • Regular company-wide social events

Senior Motion Designer – Lead Motion & Animation at BJAK Lead motion and animation for BJAK’s new UK brand, creating visually compelling content that engages audiences and elevates the brand. This role is fully focused on BJAK’s UK brand. The UK creative team operates independently and does not support Southeast Asia or other regions. You will lead motion design direction, produce high-quality animations, and mentor junior designers — shaping how BJAK’s new UK brand is perceived across digital, social, and product campaigns. This is a hands-on, strategic role for someone who thrives on motion storytelling, design innovation, and fast execution. What You Will Do Lead the design and animation of motion graphics for UK marketing campaigns, product explainers, social content, and digital advertising Conceptualize and develop storyboards, frames, and animation sequences aligned with UK brand objectives Maintain visual consistency and technical quality across all motion outputs Elevate design quality through experimentation, art direction, and storytelling Work closely with UK Creative, Marketing, and Product teams to translate objectives into motion-driven content Mentor junior motion designers and guide creative execution for UK projects Partner with video editors, videographers, and graphic designers to produce cohesive multimedia content Present design concepts to stakeholders clearly and persuasively Oversee motion production from concept to delivery, ensuring efficiency and technical excellence Develop reusable templates and motion design systems to streamline production Manage multiple projects simultaneously, balancing creative innovation with timely delivery Troubleshoot animation, rendering, or visual effects issues to maintain quality Stay at the forefront of UK and global motion design trends, animation techniques, and creative tools Experiment with advanced VFX, 3D animation, and emerging digital formats Continuously push creative boundaries to set new benchmarks for BJAK’s new UK brand What You Bring Diploma or Bachelor’s degree in Motion Graphics, Animation, Multimedia Design, or related field 5+ years of professional experience in motion design, animation, or creative production Expert proficiency in Adobe After Effects, Illustrator, Photoshop, Premiere Pro, and other motion design tools (Cinema 4D, Blender is a plus) Strong sense of storytelling, timing, and visual composition Proven ability to lead creative direction and guide teams toward impactful visual outcomes Excellent project management, organizational, and communication skills Portfolio or showreel demonstrating advanced motion design and animation work Why Join BJAK Lead motion design for BJAK’s new UK brand from concept to execution Competitive compensation with fast-track career growth High-ownership, collaborative, and idea-driven creative culture Opportunity to create content that directly shapes UK audience perception Flat structure — creativity and initiative matter more than titles Remote work flexibility across the UK (not limited to London) Our Team & Culture Lean, high-output team that moves fast and expects the same from each other Everyone contributes meaningfully, thinks like an owner, and raises the bar Clarity, execution, and iteration drive everything we do Results, speed, and ownership matter more than titles About BJAK BJAK is Southeast Asia’s largest digital insurance platform, headquartered in Malaysia with offices internationally. Our UK business is built with local focus and independent execution, supported by the team's deep expertise in technology, industry, user acquisition and business development. We build and pioneer new systems that leverage automation, OCR and AI with a goal of making everyone's lives more efficient.

Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. Based in an EMEA time zone with strong overlap to customer business hours. Excellent written and spoken English. Additional European languages are a strong plus. Deepgram is looking for an Account Executive to drive new customers and revenue to our rapidly growing company. You will have the opportunity to sell a patented world-class voice AI platform that has been enabling our customers to achieve things previously not attainable. We are looking for hungry and talented sales professionals to help us take our top-line revenue to new heights! Self-prospecting to build a strong sales pipeline of new logos, striving to exceed quarterly and annual sales targets, as well as partnering with the Marketing and SDR teams to generate meetings Work closely with cross-functional teams (especially Sales Ops and Sales Engineers) to ensure sales effectiveness Have a depth of understanding regarding customer needs in the voice AI space, competition, and Deepgram products to be able to articulate Deepgram’s value proposition fully to highly technical buyers Establish and maintain relationships with key stakeholders, work with CSMs to drive upsell opportunities and manage existing accounts ongoing Value having leadership that has tenure and a track record of success Thrive working with A Players as cross-functional partners across GTM Understand the importance of selling a product that is market validated and can deliver on its technical promise Believe there should be no cap to upside and want control of account up-sell potential Are passionate about what Deepgram is building and how we are changing what is possible with speech Proven experience in a technical full-cycle sales role Experience building your own pipeline from scratch and closing accounts Consistent overachievement against sales targets in past experiences Strong written and verbal communication skills Empathy and a unique ability to understand customer needs Highly organized with exceptional follow-up skills due to managing multiple opportunities at any given time Ability to drive a consistent and repeatable sales process with a coachable/adaptable mindset based on other rep success. It Would Be Great If You Had Familiarity with Challenger or Triangle sales methodology Experience selling to a technical audience in a similar space Experience selling developer tools, infrastructure, or AI/ML technologies. Fluency in German, French, Dutch, or other major regional languages. Medical, dental, vision benefits Annual wellness stipend Mental health support Life, STD, LTD Income Insurance Plans Unlimited PTO Generous paid parental leave Flexible schedule 12 Paid US company holidays Quarterly personal productivity stipend One-time stipend for home office upgrades 401(k) plan with company match Tax Savings Programs Learning / Education stipend Participation in talks and conferences Employee Resource Groups AI enablement workshops / sessions *For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible. Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you! Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them.

Company Description WEbstarlitd is a growing technology company focused on delivering high-quality digital streaming experiences to a global audience. The team works on innovative features that make it easier for users to discover, watch, and enjoy content across devices. Collaboration, accountability, and continuous improvement are central to how WEbstarlitd designs and builds its platform. Team members are encouraged to share ideas, experiment, and contribute to product quality at every stage. The company values a supportive, inclusive work environment where diverse perspectives help shape better products. Role Description This is a full-time, on-site role based in London for a Manual Tester supporting a streaming platform. The Manual Tester will design, execute, and document test cases across web, mobile, and TV applications to ensure high-quality releases. Responsibilities include functional, regression, smoke, and exploratory testing, as well as validating UI/UX behavior, playback, and content availability. The role involves closely collaborating with developers, product managers, and designers to clarify requirements, reproduce issues, and provide clear, well-documented defect reports. The Manual Tester will participate in release readiness checks, maintain test documentation, and contribute to continuous improvement of QA processes and test coverage. Qualifications • Experience in manual software testing, including creating, executing, and maintaining test cases and test suites., • Ability to perform functional, regression, smoke, and exploratory testing across web, mobile, and/or smart TV applications., • Strong skills in defect reporting, including clear steps to reproduce, impact assessment, and collaboration with engineering teams., • Familiarity with streaming platforms or media applications (e.g., playback testing, content catalog validation, device compatibility) is highly beneficial., • Comfort working with test management tools and issue trackers (e.g., Jira, TestRail or similar), and basic understanding of SDLC and Agile methodologies., • Strong attention to detail, analytical thinking, and ability to prioritize effectively in a fast-paced release environment., • Good written and verbal communication skills, with the ability to work collaboratively in a diverse, cross-functional team., • Relevant education or training in computer science, information technology, software testing, or a related field, or equivalent practical experience. We are hiring freelancers submit your application using this project link https://remoworkers.com/j/OTU3Nzc1

Location: Remote (UK or Greece) Salary: Competitive, based on experience Job Type: Full-Time Working for Krotos We revolutionize sound creation by making Hollywood-quality sound accessible to everyone. Our groundbreaking software, featured in blockbuster productions like Avengers and Game of Thrones, empowers creators to design high-quality sound faster and more intuitively. Our mission is to change the way people design and perform sound. As a fast-growing, remote-first company, we are pushing the boundaries of creativity and innovation in content creation. The role Join our R&D team as an ML specialist to research, develop and ship technologies that change how people create sound. We're building systems that understand, manipulate and generate audio in ways that feel genuinely intuitive to professionals and we're nowhere near done. You'll own problems end-to-end, from identifying the right approach to getting it in front of customers, working closely with product to make sure what we build actually matters. Key objectives • Research and develop multimodal AI technologies that improve the way people work with sound, • Build and optimise LLM-powered audio pipelines and extend our Qwen-based vision model for audio production use cases, • Identify opportunities to apply the latest advances in generative AI and multimodal research to the professional audio field Responsibilities • Work within the team and research engineers to solve problems for film makers & sound designers, • Design and maintain backend inference systems that meet the latency and quality demands of professional audio workflows, • Collaborate with product and engineering teams to implement ML research in commercial products, • Work with the product owner to identify where ML creates the most value for customers, • Clearly and effectively communicate ML concepts, model behaviour and tradeoffs to the wider business, • Provide technical guidance on model architecture, fine-tuning strategy and deployment decisions Skills and experience Essential: • A degree in a relevant field or extensive professional experience, • Experience in commercial machine learning research and development, • Strong hands-on experience fine-tuning and adapting large language models (LoRA, QLoRA, PEFT, DPO/RLHF), • Experience working with data, training and evaluating machine learning models, • Experience with multimodal architectures — audio-language, vision-language, or both, • Extensive audio and signal processing knowledge — spectral features, neural codecs, generative audio models, • Experience deploying models to cloud inference (AWS or GCP) with awareness of latency and cost tradeoffs, • MLOps competency — experiment tracking, model versioning, evaluation pipelines, ML CI, • Experience with Python and modern ML frameworks (PyTorch, JAX), • Excellent verbal and written English communication skills, • Excellent analytical and problem-solving skills, • A desire to innovate and push current practice Desirable: • Experience with vision-language models, particularly Qwen-VL or similar, • Experience with Agile software development practices, • Familiarity with VST/AU plugin architectures and real-time audio constraints, • Experience delivering ML technologies shipped in commercial audio software, • Knowledge of sound design and audio post-production workflows, • C++ reading ability, • Previously registered audio machine learning patents Team Core Values Inventive. Driven. Transparent. Our values define who we are and how we work: • Honesty & Transparency: We communicate openly, share the truth even when it’s difficult, and build trust through clarity, • Team Player: We collaborate, support each other, and put collective success above ego, • Problem Solver: We face challenges head-on and find creative, practical solutions., • Open-Minded: We listen to others, consider different perspectives, and recognise the complexity of good decisions, • Politeness & Respect: We treat colleagues and customers with courtesy and professionalism, • Curiosity & Growth: We love learning, experimenting, and continuously improving, • Data-Driven: We let insights and evidence guide our decisions, not guesswork, • High Standards: We take pride in excellence and pay attention to the details that matter, • Strong Work Ethic: We commit, follow through, and work hard to achieve ambitious goals Benefits • Competitive salary and benefits package, • Private health insurance, • Opportunities for professional growth and development, • Flexible, remote working environment, • Access to cutting-edge technology and tools, • Exciting projects in a fast-growing, innovative company Next steps Send your CV and a cover letter to admin@krotosaudio.com explaining why you are the best candidate for this role, referencing the requirements above and including two to three brief examples of relevant results. Note: All offers are subject to eligibility to work in the UK or Greece and satisfactory references. At Krotos, we value diversity and are committed to fostering an inclusive environment. We encourage applications from candidates of all backgrounds. Reasonable adjustments are available throughout the application and interview process.

Full-time | Remote with trips to Silicon Valley office | Reports to Founders Introduction: • Join us at Fastino as we build the next generation of LLMs. Our team, boasting alumni from Google Research, Apple, Stanford, and Cambridge is on a mission to develop specialized, efficient AI., • Fastino's GLiNER family of open source models has been downloaded more than 5 million times and is used by companies such as NVIDIA, Meta, and Airbnb, • Fastino has raised $25M (as featured in TechCrunch) through our seed round and is backed by leading investors including Microsoft, Khosla Ventures, Insight Partners, Github CEO Thomas Dohmke, Docker CEO Scott Johnston, and others. What You’ll Work On: • Experiment with novel language model architectures, helping drive and execute Fastino's research roadmap, • Optimize Fastino’s multimodal models to improve response quality, instruction adherence, and overall performance metrics, • Architect data processing pipelines, implementing filtering, balancing, and captioning systems to ensure training data quality across diverse content categories, • Implement reinforcement learning techniques including Direct Preference Optimization and Generalized Reward Preference Optimization to align model outputs with human preferences and quality standards, • Build robust and real-world motivated evaluations, • Partner with Fastino engineering team to ship model updates directly to customers, • Establish best practices for code health and documentation on the team, to facilitate collaboration and reliable development What We’re Looking For: • Required - Great velocity for building and shipping agents / AI products., • Optional - Advanced degree (Master's or PhD) in Computer Science, Artificial Intelligence, Machine Learning, or related technical discipline with concentrated study in deep learning and computer vision methodologies, • Optional - Demonstrated ability to do independent research in Academic or Industry settings, • Optional - Substantial industry experience in large-scale deep learning model training, with demonstrated expertise in at least one of Large Language Models, Vision-Language Models, Diffusion Models, or comparable generative AI architectures, • Optional - Comprehensive technical proficiency and practical experience with leading deep learning frameworks, including advanced competency in one of PyTorch, JAX, TensorFlow, or equivalent platforms for model development and optimization

Remote (Europe/UK) · Full-time · Marketing / Growth The role sanctions.io is a scaling B2B regtech in the compliance space. This isn't a traditional marketing role - or a traditional engineering one. It's for someone who looks at "we need more qualified pipeline" and reaches for systems, code, and AI instead of more manual effort or another agency. Your mandate is demand generation, attacked with technology. You'll build the engines that bring qualified leads to sales - programmatic content, AI-driven outbound, embeddable tools, inbound systems that compound over time. And you'll take the manual marketing ops we run today (content production, list building, CRM hygiene) and automate them, so output scales without the team growing. If your instinct when you see a repetitive marketing task is "I could build something that does this," this is your role. What you'll build • Demand generation: personalised outbound at scale, programmatic SEO and content engines targeting your buyers' real questions, and free tools that turn intent into inbound. Show up in AI-generated answers, not just search results., • Marketing ops automation: AI-assisted pipelines that draft and template content so people edit and approve rather than produce from scratch. Automate lead enrichment, scoring, and prioritisation., • Data and attribution: fix lead-source and attribution problems in the data pipeline, not with manual cleanup. Build reporting that makes every experiment measurable on pipeline and CAC, not vanity metrics., • Experimentation: run a steady cadence of growth experiments, instrument them properly, scale the winners and kill the rest. What we're looking for • Comfortable writing simple code to solve growth problems; hands-on with APIs and automation tooling (HubSpot API, Clay, n8n / Make / Zapier)., • Fluent with LLM APIs (OpenAI, Anthropic) - not "I use ChatGPT" but "I've built things with it.", • You get funnels, attribution, ICP, and the MQL/SQL distinction, and you've used data to change real decisions., • You can write a sharp, on-brand line when the system needs one., • Bonus: front-end skills to ship landing pages and simple tools yourself. You think in systems and leverage - "how do I make this run without me?" - ship fast, and figure out new tools quickly. Not a fit if you want to produce content by hand all day, use AI tools but can't build systems with them, need a fully scoped role, or come from large-company or B2C marketing. How we operate Six years building sanctions.io has taught us: ownership over micromanagement, done beats perfect, candid feedback both ways, customer obsession. Plenty here is still messy and undefined - that's the work, and a big part of why this role exists. Comp & how we hire Competitive base and benefits, remote-first, work from anywhere in the UK or Europe. A degree isn't important - we want demonstrated experience, including side projects and tools you've shipped. Apply Send your CV and - more importantly - show us something you've built: a growth system, an automation, a tool, a side project. Tell us what problem it solved and what it produced.

The Personalization team makes decisions about what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. We are looking for a Backend Engineer to join our distributed team across Europe of hardworking engineers that are passionate about connecting new and emerging creators with users via recommendation algorithms. As an integral part of the squad, you will collaborate with engineers, research scientists and data scientists in prototyping and productizing state-of-the-art ML that serves at scale for hundreds of millions of users. • Design, develop, and deliver robust and scalable backend systems and APIs., • Collaborate with other engineers, product owners, and designers to identify and solve challenging problems and build new product features., • Write clean, maintainable, well-documented code, adhering to coding best practices., • Participate in the improvement of our software development standards and practices., • Stay up-to-date with emerging backend technologies and best practices., • Be a member of the Spotify-wide backend developer community affecting and driving our architecture across the company., • You have experience writing distributed, high-volume Java services and know how to deploy and keep them running in production., • You have a good understanding of data structures and algorithms, and understand how to apply them to design pragmatic solutions., • You have excellent analytical and problem-solving skills and can communicate your ideas to technical and non-technical audiences., • You love working in an environment where you constantly experiment and iterate quickly., • You believe data is the most powerful tool for informed decision-making., • You care about quality and you know what it means to ship high quality code., • This role is based in London., • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

Location: United Kingdom (ideally, London) We’re looking for an Account Executive to help engineering teams ship more applications and stop worrying about the infrastructure. Northflank gives engineers a self-service platform to build, deploy, and operate any workload on their cloud of choice (AWS, GCP, Azure, you name it). We’ve got tens of thousands of developers using our product, $24M+ in venture funding, and a vision to redefine cloud infrastructure. But here’s the thing: We’re building something foundational for the modern engineering stack, and we need your help to get it into the hands of the teams that need it most. You won’t just be “another seller” here. You’ll be part of a founding sales team shaping how we talk about our platform, connect with engineering leaders, and ultimately help organizations run their production environments more smoothly than ever. Your mission: be the trusted advisor who guides CTOs, VPEs, and Platform Engineering leaders toward a solution that empowers their engineers to ship faster, scale confidently, and trust their production environments every step of the way. What you’re stepping into: A beloved product with a rapidly growing user base of tens of thousands developers and engineers. Developer-first DNA: our audience doesn’t do canned sales pitches—they care about results, someone who understands a technical audience, and authentic engagement. A budding go-to-market motion where your voice directly influences our messaging, sales strategy, and tactics. A leadership team (CEO, COO, and more) that rolls up their sleeves and collaborate on closing big deals. A rapidly scaling startup environment backed by top-tier investors, where your impact matters to building a generational software company. Hypotheses we’ll hand you: Engineering leaders want to shift more resources to the products their customers pay for—workloads (applications, databases, jobs)—and away from the scaffolding and custom “glue” that makes these workloads run on cloud infrastructure. Tailored, high-touch outreach to the right accounts beats scattershot approaches every time. Show, not tell - Once we understand our customers’ priorities, we lead with the product and not slideware (demos incur a few “wow” moments). Product-led growth and engineering credibility matter. We’re a team full of technologists, and our product speaks for itself. Persistence, thoughtfulness, and genuine curiosity are your best friends in navigating long sales cycles. Who we’re looking for: 5-7+ years of experience in a closing role, ideally selling cloud infrastructure, DevOps, or platform tools to technical buyers. You have a strong network of engineering leaders who know and trust you. A proven track record of building trust with engineering stakeholders and consistently hitting or exceeding quota. A working understanding of Kubernetes, cloud infrastructure, and the modern software development lifecycle—or the hunger to learn fast. A mindset that thrives in ambiguity: you love refining playbooks on the fly, testing new outreach methods, and iterating until we’ve nailed our approach. You care about metrics, outcomes, and constant improvement. You’re always asking, “How can we do this better?” What you’ll do: Own the full cycle: Identify high-value prospects, navigate technical buyer landscapes, deliver compelling product demos, negotiate, and close deals. Consultative selling: Ask the right questions, listen deeply, and translate technical pain points into tailored solutions—be more of a solutions architect than a script follower. Collaborate: Work closely with leadership, developer marketing, and product to ensure our messaging hits home. Help shape the sales narrative and refine the strategies that get results. Iterate the playbook: Don’t expect a fully baked sales process. You’ll experiment, optimize, and own a piece of how we sell and scale. Get in the field: Travel occasionally for customer meetings, conferences, and events—where you’ll learn, network, and keep a pulse on the market. What you’ll love about this role: You’re on the ground floor of the sales organization, meaning your wins and feedback will meaningfully shape our GTM strategy. Direct access to our CEO, COO, and leadership team—no layers of bureaucracy, just real-time input and support. A remote-first culture that respects your autonomy while encouraging meaningful in-person engagements when it counts. The chance to be part of a Series A startup that’s charting a new frontier in cloud-native infrastructure. What we’re not looking for: Someone who’s looking for a perfectly defined process—we need adaptability and creative problem-solving. A “features and benefits” only salesperson—our buyers crave technical depth, authenticity, and genuine insight. Someone afraid to experiment. If you’re not willing to test new angles, refine your approach, and grow through trial and error, this may not be your stage. A clock-puncher. We’re sitting in front of one of the biggest opportunities in software infrastructure, and we have a shot to win this market. This means working as if there is a multi-billion dollar business to be built (because there is). Compensation & benefits: OTE: $200-300k (50/50 salary/variable compensation) Equity: Join us as an owner of our journey. PTO: 31 days of paid leave annually. Flexibility: Work remotely in London Comprehensive Benefits: We’ve got you covered with healthcare, retirement, and more. If you’re ready to help shape how engineering teams build software, join us at Northflank, and let’s build something extraordinary together. Diversity Statement At Northflank, we are committed to fostering a culture where every individual feels valued, respected, and supported, regardless of their background or identity. We are dedicated to providing equal treatment and opportunity throughout hiring, selection, and employment regardless of gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other legally protected category. Northflank is an equal opportunity employer.

Attio is the CRM built for the AI era. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A. We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier. If you want to do the best work of your career, this is the right place. Our Marketing team shapes how the world sees and experiences Attio. We think strategically, move fast, and obsess over quality — from acquisition to brand to product marketing. We experiment constantly, craft clear narratives, and focus relentlessly on what drives growth. We’re looking for a Growth Marketing Manager to own one of Attio’s most important growth opportunities: turning more of our existing traffic into customers. You’ll lead our conversion optimisation efforts across landing pages, the marketing website, and paid acquisition journeys. Working closely with Performance Marketing, Studio, Marketing Website, Lifecycle, Product Marketing, and Content, you’ll build the experimentation engine that helps us understand what resonates with prospects and continuously improve conversion across the funnel. This is a hands-on, high-impact role suited to someone who combines strong commercial instincts with rigorous experimentation. You’ll be responsible for identifying opportunities, running high-quality tests, and scaling the learnings that drive meaningful business growth. Drive Conversion Growth: Own conversion rate optimisation across Attio’s paid acquisition journeys, landing pages, and marketing website — improving conversion at every stage of the funnel and turning more existing traffic into signups and pipeline. Lead Experimentation: Build and run our experimentation programme, from hypothesis generation and prioritisation through to implementation, analysis, and scaling successful learnings across the business. Own the Website Experience: Own the performance of our landing pages and highest-intent website experiences, including pricing, competitor, and solution pages. You’ll optimise copy, messaging, layout, and creative direction to improve conversion. Improve Acquisition Performance: Partner closely with Performance Marketing to improve message-to-landing-page fit across ads, keywords, RSAs, and audience targeting — increasing conversion across paid acquisition channels. Work Across the Funnel: Collaborate with Studio, Lifecycle, Marketing Website, Product Marketing, and Content teams to deliver high-quality experiments, campaigns, and customer journeys that drive measurable business outcomes. Proven CRO Experience: A track record of improving conversion across landing pages and websites through structured experimentation, with clear examples of measurable business impact. An Experimental Mindset: Experience designing and running A/B and multivariate tests, with a rigorous approach to hypothesis development, analysis, and decision-making. Strong Commercial and Creative Judgement: Strong instincts for messaging, conversion psychology, and user experience, paired with the ability to write effective copy and provide confident creative and layout direction. Paid Acquisition Experience: A strong understanding of how targeting, ads, keywords, landing pages, and on-site experiences work together to drive conversion across paid acquisition funnels. Analytical Fluency: Experience using analytics, experimentation, heatmapping, and session replay tools to diagnose performance, uncover opportunities, and make data-informed decisions. High Ownership: A proactive operator who works effectively across design, content, product marketing, lifecycle, and performance teams, with a high bar for quality and execution. UK benefits Equity in an early-stage tech company on an incredible trajectory 25 days holiday plus local public holidays Apple hardware Private medical insurance through AXA Pension contribution through Hargreaves Lansdown Enhanced family leave Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far) Initial conversations 30-minute intro with a member of our Talent team 30-minute track record interview with our Growth Marketing Lead Core interviews A series of working sessions exploring your approach to CRO and experimentation, a practical landing page and website teardown, and values alignment Final stage 30-minute closing conversation with a member of our leadership team Offer call (if it's a mutual fit)

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as and bank accounts, we offer , , a and in the UK, with more exciting things to come beyond. Our UK customers can also , and _ with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London/Cardiff/UK Remote | 💰 £86,000-105,000 + | ✨ About us: At Monzo we want to make money work for everyone. We care deeply about our 15+ million customers. Through magically simple products and actionable insights, we put our customers in control of their finance. Our products are different by design, and reliable at our core. Our range of borrowing products are critical to Monzo’s mission. Not only do they serve important needs of our customers, they are also a key revenue driver to support Monzo keep delivering great products and experience. We have seen stellar growth and deep engagement with millions of borrowers, supported by effective and efficient credit risk management. Our product portfolios are still expanding fast, from personal to business credit, and markets beyond UK. We are looking for bright, passionate and creative individuals to further accelerate our growth. About the role The mission of Borrowing ML Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and Statistical modelling. We have a primary focus in credit risk modelling, with our expertise also applied to predict and optimise utilisation, pricing, collection and marketing. You will be working alongside a team of very experienced and highly efficient ML Scientists, with well established toolings for the fully lifecycle of ML models. Each of you owns multiple ML applications end-to-end, from experiment design and data curation, to deployment and monitoring. You will be empowered to innovate in the data, methodologies and toolings, so we can build better models easier and faster. You will have exposure to all Borrowing products and applications, with autonomy to decide what are the most impactful topics to work on, and how to deliver them. You will work closely with our Credit Strategy Managers, Model Validation Analysts, Backend Engineers, and Product Managers, to fit your model development into the product roadmap. You are also empowered to think big about the business, market and customers, to influence our product and credit strategy beyond just the world of models. Our technology stack We rely heavily on the following tools and technologies (although we do not expect applicants to have prior experience of all them): • _ for all of our analytics usages, • and for our data modelling and warehousing, • PyData stack for model development and offline deployment, • Google Vertex AI platform for cloud computing, • _ for backend infrastructure, • Python for ML model microservices, • Go lang for most other microservices, • AI toolings for productivity (an evolving list), • Google suites including access to Gemini, • ChatGPT enterprise, • Claude code 🤩 You should apply if: • You are result oriented and motivated by the impact on our customers and business, • You enjoy a high degree of autonomy and thrive in a fast-paced environment, • You are keen to grow your knowledge in both business and technology 📌 You must have: • Excellent SQL and Python skills with good understanding of best practices in software engineering and data engineering, • In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc, • Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap, • Experience of end-to-end model development and maintenance of ML models used for business critical automated decisioning, in a consumer facing industry, • Great attention to details while keeping an eye on the big picture, • Excellent communication skills to articulate complex problems, • Capability to build mutual respect and trust with people of different background Nice to have: • Experience in UK/EU retail lending businesses for personal/business customers, • Experience of ML model governance in a regulated industry, • Experience in leverage modern day AI tools for productivity The Interview Process: Our interview process involves: • 30’ Recruiter Call, • 45’ Initial Call, • 60’ ML technical skill interview, • 60’ Behavioural interview All interviews will be conducted through Google Meet. Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on _ What’s in it for you: 💰 £86,000 to £105,000 ➕ plus stock options & benefits ✈️ We can help you relocate to the UK ✅ We can sponsor visas 📍This role can be either based in our London office with hybrid working pattern, or fully remote within UK with occasional travels to London. 🏡We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚 Learning budget of £1,000 a year for books, training courses and conferences ➕ And much more, see our full list of benefits _ #LI-DC2 #LI-Remote Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our , 2024 and 2024 _ We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail – one of the world’s most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro. We are currently recruiting a Price and Promotion Consulting and Implementation Manager who will be part of the Client solution for EMEA markets and reporting to Price and Promotion consulting director. We are looking for a candidate who can apply technology to promote the success of our retail clients while addressing business requirements through workflow design, configuring software for optimal client results, and conducting training in accordance with best practices. The Price and Promotion consulting and implementation manager will lead the deployment of dunnhumby’s P&P solutions to new and existing clients in the EMEA region. They will work closely with the client’s teams to understand their requirements and ensure that our tools are fit for purpose. Ultimately, the Price and Promotion Consulting and Implementation Manager is the facilitator of change for the deployment of price/promotions technology, resolving user challenges and articulating the new workflows in such a way as to maximize a client’s user experience. This role provides the opportunity to shape the future of dunnhumby’s price and promotions solutions, working closely with the product team to develop new features. A unique blend of technical savvy and process consultation provides this role with exciting growth opportunities. Responsibilities • Lead the delivery of P&P Products: Ensure the timely and successful delivery of price and promotion software solutions that meet client’s needs and objectives, in line with the project plan. Analyse large and complex datasets to identify potential gaps and inconsistencies during the deployment process., • Drive Change: Develop and maintain trusted advisor relationships with client teams, guiding them through change by implementing new price and promotional processes. Work closely with the product teams to influence the roadmap based on clients’ feedback and develop new features collaboratively., • Process & Requirements Documentation: Understand and document the client’s current processes, identify and organize their business and process requirements, and work with the Price & Promotion Consulting Director and the wider team to recommend best-in-class solutions., • Software Configuration & Testing: Configure enterprise price and promotions software to align with specific client processes and needs. Develop and implement internal and external testing processes. Perform testing and analysis of data to ensure accuracy and effectiveness of software solutions., • GO Live support: Contribute to the successful execution of the GO Live phase by demonstrating the tool’s added value to the client. This involves organizing and participating in client sessions, conducting category analysis, proposing optimal solutions, and monitoring progress through measurement, reporting, and activity tracking. Required Experience • Extensive experience working in Price and Promotions at a retailer/ FMCG or participating in enterprise software implementations, • A college degree or equivalent professional experience required, • Strong business analysis and data analytics skills. Data visualization, advanced Microsoft Excel, programming language a plus, • Strong communication and presentation skills both written and verbal, • Experience in project management and workflow optimization is a plus, • Second European language desirable (German or Spanish ideally) What you can expect from us We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found _

About the role: We are looking for a strategic, results-driven Senior Performance Marketing Manager to lead our EMEA performance marketing efforts and drive customer acquisition and business growth through Paid Media (paid search, paid social and other performance channels). This role will own the end-to-end strategy and execution of performance marketing campaigns for the EMEA region (UKI and Mainland EMEA), with a focus on building full funnel paid media campaigns, rigorous experimentation, optimization, and delivering measurable impact on pipeline and revenue. You'll play a key role in scaling our search ads and paid social campaigns across Google Ads, Microsoft Ads, Linkedin, Facebook, and experimenting with new performance channels. The right candidate is both strategic and hands-on, analytical, and excited to uncover new growth opportunities while continuously improving cost-per-acquisition (CPA) and return on ad spend (ROAS) across multiple platforms. This is a high-impact role that’s critical to achieving our growth goals in a complex, multi-market environment, and an ideal opportunity for someone who thrives in fast-paced environments, loves data-driven problem solving, and is motivated by owning outcomes from start to finish. This is a remote position open to candidates residing in the UK, with a preference to London based candidates. You should apply if: You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely. You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment. You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers. You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best. In this role, you will: • Develop and execute a data-driven customer acquisition and expansion strategy across Google Ads, Microsoft Ads (Bing), Linkedin, Facebook, and other performance marketing channels., • Experiment with new channels to uncover new growth frontiers., • Adapt and localize global performance strategies for specific EMEA markets, ensuring cultural relevance and language accuracy, while architecting bespoke EMEA-first campaigns tailored to unique regional market dynamics and buyer behaviors., • Own end-to-end campaign strategy and execution - from ideation and audience targeting to ads trafficking, creative optimization and performance analysis., • Use A/B testing and experimentation to continuously improve ad creative, audience targeting, and bidding strategies., • Leverage performance data to inform keyword selection, ad copy, ad creatives, campaign structure, and bidding approaches that drive performance and efficiency., • Analyze and present campaign results, implementing recommendations to optimize performance and identify new growth opportunities., • Partner with the Sales, Marketing Ops, Demand Generation, Field Marketing, Customer Marketing, Brand Marketing, and the EMEA Marketing Team to create integrated campaigns to achieve our goals., • Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices. Minimum requirements for the role: • 5+ years hands-on experience with Paid Search and/or Paid Social; Programmatic Display, ABM, Affiliate, and landing page optimization experience is a plus., • Experience managing high-growth performance budgets across a fragmented multi-market landscape (e.g., UKI, DACH, France, Benelux)., • Skilled in building campaigns and ads directly in platform-native tools (e.g.,Google Ads, Microsoft Ads, Linkedin, Facebook, 6sense)., • Experience working with high-growth SaaS products, a deep understanding of the B2B sales funnel, and familiarity with the B2B MarTech stack, including Salesforce and Marketo., • Skilled in trafficking ads, implementing tags in Google Tag Manager, and understanding server-side tracking and first-party data strategies., • Results-oriented and data-driven, leveraging both qualitative and quantitative insights to guide decisions and prioritize roadmaps., • Proven ability to build performance marketing channels from the ground up, scaled to a high level of paid spend, with a strong focus on high-impact, high-return initiatives., • Strong interpersonal and communication skills, with the ability to collaborate effectively across technical and creative teams., • High level of ownership and accountability, with experience managing multiple stakeholders and projects simultaneously., • Bachelor's Degree. Ideal Candidate: • Experience working with both SMB and Enterprise segments is highly valued., • A deep understanding of B2B attribution models and the non-linear buyer journey.

We are a first-mile intelligence platform, delivering granular visibility into the point of origin in global ag & soft commodity supply chains - where risk, cost, performance and exposure are set. You’ll join a global, cross-functional team that values rigour, curiosity and working close to real-world challenges. Whether your focus is AI, climate, product or operations, you’ll have space to contribute meaningfully and make an impact from day one. If you’re excited by complex problems and want to help reshape how nature is valued in real-world decision-making, we’d love to hear from you. We are hiring a Machine Learning Scientist into the Science Team to contribute to the development of models — from classical statistics and gradient-boosted methods through to deep learning when warranted — that turn satellite, radar, and LiDAR observations into defensible, plot-level intelligence on the world's commodity supply chains. You will work across the full lifecycle — from research and prototyping through to validated, productionised models. A meaningful fraction of the team's work centres on building lightweight downstream models — classifiers, regressors, similarity-search workflows. Likely focus areas for this role include: Commodity and plantation mapping by region - palm oil, cocoa, coffee, rubber, soy, timber and similar - in support of EUDR compliance and supply-chain due diligence. Forest degradation and biomass / canopy-height estimation from multi-sensor fusion. Develop ARR feasibility models that fuse climate, soil, and remote-sensing inputs to estimate site potential, forecast biomass and carbon trajectories, and quantify physical and permanence risk. Design, train and evaluate ML models - from gradient-boosted methods to CNNs, U-Nets and vision transformers - for commodity and plantation mapping, land-cover classification, change and disturbance detection, and biomass / canopy-height estimation. Build embedding-driven workflows on top of EO foundation models - few-shot classifiers, similarity search, downstream regressors. Design validation strategies that benchmark outputs against plot inventories and third-party reference datasets, quantify uncertainty, and surface failure modes; produce QA artefacts (maps, plots, model cards, error analyses) that internal teams and clients can trust and defend. Partner with Engineering to take models into scalable, reproducible inference pipelines across millions of plots, and contribute to a strong research culture across Science, AI and Engineering - reviewed code, shared tooling, and active engagement with EO/ML literature. Degree in a quantitative field: environmental/earth science, computer science, physics, maths, engineering, or similar. 3+ years of applied machine-learning experience, including time spent in an industry, product, or startup setting i.e. shipping models. Expertise in geospatial Python tooling: rasterio, xarray, geopandas, GDAL, and the STAC ecosystem. Hands-on experience training, evaluating, and debugging ML models across the modern Python stack - deep learning (CNNs, U-Nets, vision transformers) using PyTorch, as well as classical methods (gradient boosting, random forests) with scikit-learn. Demonstrable experience with remote sensing data (optical, SAR) and an understanding of the sensor-specific quirks that matter for modelling. Comfortable with Git, cloud compute (AWS or similar), and collaborative codebases. Clear written and verbal communication: can explain modelling choices, uncertainties, and trade-offs to scientific and non-scientific stakeholders. Domain exposure: deforestation, land-use change, biomass / canopy-height estimation, climate risk, or supply-chain transparency. Experience using EO foundation models as a downstream substrate - building lightweight classifiers, regressors, or similarity-search workflows on top of frozen embeddings (e.g., AlphaEarth Foundations, Clay, etc). Comfortable fine-tuning or pretraining where the case justifies it. Multi-modal fusion experience - combining optical (Sentinel-2, Landsat), SAR (Sentinel-1, PALSAR), and/or LiDAR (GEDI, ICESat-2) into unified predictions. Time-series modelling for environmental change detection - temporal transformers, sequence models, or self-supervised approaches. Comfortable building with AI-assisted development tools as a core part of your workflow. Familiarity with Google Earth Engine, Microsoft Planetary Computer, AWS Open Data, or other STAC-based catalogues. Experience working in cross functional teams working alongside solutions architects, sales, and engineering. You’ll report to the Science Team Lead and partner day-to-day with the wider Science Team while working closely with Engineering and Product teams. This is a Science Team role with regular touch points with Engineering and Product - the interview process gives you a chance to meet your immediate team and a couple of key partners. Recruiter screen (30 min) Hiring manager (45-60 min) Science Team technical interview (45 min) Engineering and/or Product interview (30 min) Potential in-person problem-solving session with the team - designed to be interactive and a glimpse of what being part of the Science Team will be like! Accessibility: Tell us if you need adjustments, we’ll accommodate. What you’ll gain at Treefera Build something that matters - join a high-growth climate-tech company applying AI, satellite data and quantitative modelling to real-world challenges across global supply chains, commodities and carbon. Work on complex, meaningful problems - develop systems that balance risk, resilience, compliance and sustainability, giving organisations a genuine information advantage at global scale. Collaborate with exceptional people - work alongside scientists, engineers and operators who are leaders in their fields, combining academic rigour with practical, cross-functional product delivery. Ship and grow in a high-trust environment - experiment, iterate and take thoughtful risks in a team that values autonomy, creativity and continuous learning. Develop your craft - dedicated space and time to grow your skills toward mastery, tackling technically demanding challenges that push the boundaries of applied AI and environmental data. Be rewarded for your impact - competitive compensation, equity options, meaningful benefits, and the opportunity to help shape the future of AI-powered risk and environmental intelligence. Diversity, Equity & Inclusion Bold solutions come from diverse teams. Please refer to our DEI & EEO commitment below. If you need any accommodation during the application process, we’re here to support you. Learn more about how we think and build Many of our engineers, scientists and product leaders share their thinking publicly. Explore the Treefera _ for technical deep dives, research and product perspectives. Privacy notice By applying to Treefera, you consent to the processing of your personal data in line with our _.

BPM – where caring and community are in our company DNA. We are always striving to be our best selves and are compelled BPM – where caring and community are in our company DNA. We are always striving to be our best selves and are compelled to ask the questions that lead to innovation. As a [Job Title] at BPM UK, you will be part of an exciting growth journey as we establish and expand our UK presence. BPM has a strong global advisory focus, and the UK team is at the forefront of this expansion. Our people-first culture sets us apart—we combine the best of UK business practices with the backing and resources of a well-established international firm. You will work with ambitious, high-growth clients, including recognizable UK brands, as they navigate the complexities of international expansion. At BPM, we take a true advisory approach, partnering with clients throughout their business lifecycle to provide strategic insights across tax, finance, and business operations. At BPM, you will broaden your skills, challenge yourself, and make a difference for your colleagues and communities. Our entrepreneurial spirit drives us to see and do things differently. Our passion for people makes BPM a place where everyone feels welcome, valued, and part of something bigger. Because People Matter. What You Get:International Exposure & Collaboration – Work alongside a global team, integrating with US colleagues and clients.Flexible Working Arrangements – Hybrid model with regular Central London team meetups and colleague events.Challenging & Exciting Client Work – Serve a diverse client base, from UK-based high-growth companies to North American businesses expanding internationally.A Strong, People-First Culture – We prioritize work-life balance, career development, and flexibility, setting us apart from traditional firms.Professional Growth & Development – Support for ACA, AAT, and other professional qualifications, with structured training, mentorship, and learning opportunities. About the role: We are seeking an AI/ML Engineer to join BPM’s Enterprise Technology Solutions team. This role is for a builder — someone who doesn’t just experiment with AI but makes it work inside the firm at scale. You’ll take AI tools and models and embed them into BPM’s day-to-day operations, ensuring they deliver real business value. In this role, you’ll design and develop AI-powered applications — from chatbots and copilots to workflow automations — that streamline processes across Tax, Assurance, Advisory, and our Corporate Services Team. You’ll partner with teams to spot opportunities where AI can cut manual effort, increase accuracy, and speed up delivery, then turn those opportunities into working solutions. At BPM, this isn’t about chasing hype — it’s about applying AI where it matters most and seeing your work make an immediate impact. You’ll be part of standing up a brand-new AI-focused development team, not only building solutions but also shaping the team’s processes, tools, and standards. This is a chance to learn new technologies, push technical boundaries, and set the foundation for how AI gets delivered across the firm. Success in this role means turning ideas into reliable solutions colleagues can depend on — helping BPM move faster, work smarter, and stay ahead in a rapidly changing industry. Key Responsibilities: Model Development: Design and evaluate AI/ML models tailored to BPM use cases (e.g., tax AI bot, Copilot extensions). Data Engineering: Prepare and manage structured and unstructured datasets, ensuring quality inputs for training and evaluation. AI Integration: Build and deploy AI features into BPM systems and workflows, using tools like Copilot Studio, Azure OpenAI, and Power Platform. Automation: Deliver automation solutions that streamline operations and reduce manual effort for Tax, Assurance, and Advisory practices. Collaboration: Work closely with IT, business stakeholders, and data governance teams to identify use cases and ensure solutions align with firm goals. Experimentation & Innovation: Rapidly prototype AI solutions, test emerging tools, and recommend best practices for adoption. Governance & Quality: Apply responsible AI practices, ensuring models are accurate, explainable, and compliant with BPM’s standards. • Strong background in machine learning, data science, and applied AI., • Proficiency with Azure OpenAI, Copilot Studio, and Microsoft ecosystem tools., • Experience building chatbots, copilots, or similar AI-driven automation., • Solid programming skills with Python., • Knowledge of MCP (Model Context Protocol) is a plus., • Experience preparing datasets and building ML pipelines., • Familiarity with product development lifecycles and agile delivery practices., • Security-conscious mindset with knowledge of data protection best practices, especially when working with sensitive or regulated data., • Strong problem-solving skills with ability to translate business needs into AI solutions., • Excellent collaboration and communication skills to work across technical and non-technical teams., • Ability to explain complex AI concepts simply to stakeholders., • Bachelor’s degree in a relevant field along with at least 5 years of related work experience, • Experience with cloud platforms (Azure preferred), • Familiarity with frameworks and libraries such as OpenAI SDK, Azure AI SDK, LangChain, and Pandas., • Knowledge of enterprise data governance, compliance, and responsible AI practices., • Prior experience in professional services (accounting, consulting, or similar) a plus., • At least 1 year of applied AI experience, • Proficiency with Azure OpenAI, Copilot Studio, Power Platform, and Microsoft ecosystem tools, with proven success embedding AI solutions into enterprise environments., • Strong programming background in Python and SQL, with experience using frameworks and libraries like LangChain, Pandas, and Azure AI SDK., • Experience building and deploying chatbots, Copilot extensions, and automation workflows that reduce manual work and improve efficiency., • Skilled in data engineering and pipeline development, including preparation of structured and unstructured datasets for AI/ML use cases., • Solid understanding of cloud platforms (Azure preferred), enterprise data governance, and responsible AI practices., • Strong collaboration skills with ability to translate technical concepts into plain language for non-technical stakeholders., • Able to work independently or in collaborative, cross-functional teams to deliver AI and data-driven solutions and helping shape a newly implemented Ai focused team at BPM., • Strong analytical and problem-solving skills with ability to adapt quickly to shifting priorities and emerging technologies., • Able to adjust quickly to the fast-evolving AI/ML landscape, • Skilled at translating complex technical concepts into plain language for non-technical colleagues and leadership., • Effective at building trust and collaboration across diverse teams, including technical staff, business stakeholders, and leadership., • Naturally curious, persuasive, and motivated to drive adoption of innovative technologies., • Strong written and verbal communicator, with experience preparing clear documentation, training materials, and presentations., • Adept at researching new AI tools, frameworks, and industry trends, and applying them to practical business use cases., • Customer- and colleague-focused mindset, ensuring AI solutions align with real-world needs., • Highly organized with ability to prioritize and execute tasks in high-pressure, deadline-driven environments., • Persistent and results-oriented, with a track record of seeing projects through to completion. $150,000 - $180,000 a yearThe salary range provided is intended for candidates in the San Francisco Bay Area who meet the minimum requirements of the position. Candidates who do not reside in the San Francisco Bay Area, do not meet the minimum requirements, or exceed the requirements are encouraged to apply and a recruiter will provide you with a range specific to your location and qualifications.Wondering if you should apply? At BPM we are people who value people. We are progressive and purposeful. We are a firm with flexibility. Our shared entrepreneurial spirit drives us to see and do things differently. And our passion for people makes BPM a place where everyone feels welcome, valued, and part of something bigger. BPM provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance. Please note - this posting is for prospective candidates only. Unsolicited third-party resume submissions will be considered property of BPM and will not be acknowledged or returned. About BPM UK: BPM is an established global advisory firm, and our UK expansion is a key part of our growth journey. We specialise in partnering with clients throughout their business lifecycle, supporting everything from domestic tax and audit compliance to international expansion strategies. Unlike traditional firms, BPM offers a true global advisory experience, ensuring clients receive proactive, strategic guidance. Our UK team brings together the best of UK business practices with BPM’s international expertise, fostering a collaborative, flexible, and people-first culture. We are looking for driven professionals who are excited to be part of something new—helping shape BPM’s future in the UK while working with some of the most dynamic and recognisable brands in the market.

📌 Position Title: AI Product Specialist 🌍 Location: Remote - Europe ⏰ Working Rhythm: Innovation is a 24/7 pursuit, but we value your downtime. While our typical working hours are 9am-5pm in your timezone, we embrace flexibility and trust you to manage your schedule to meet your individual needs and peak productivity times. Occasionally, longer hours may be to tackle challenges, support new releases, or contribute to time-sensitive initiatives. 📝 Contract Type: Permanent 🤝 Reporting To: Chief Product Officer 📅 Start Date: April 2026 Role We're looking for someone who lives at the edge of AI possibilities—someone who wakes up thinking about what they can build with the latest models, tools, and techniques. You're the kind of person who has strong opinions about Claude vs ChatGPT vs Gemini because you've actually shipped things with all of them. You experiment relentlessly, you vibe code like others scroll social media, and you want to build the future. As our AI Product Specialist, you'll be our internal R&D lab and strategic advisor rolled into one. You'll prototype agentic experiences, pressure-test new AI capabilities, and help me make smart bets on what we should build. You'll balance hands-on building with strategic thinking—shipping experiments fast while developing frameworks for how we should think about AI across our product. At Nexford we're building a new kind of university: one that's affordable, flexible, relevant, and 100% online. One that prepares learners for the careers of tomorrow, without the burden of student debt. Key Responsibilities • Ship rapid AI experiments: Build working prototypes of agentic workflows, conversational interfaces, and AI-assisted features. Move from idea to clickable demo in days, not weeks. You're comfortable with imperfect MVPs that teach us something and can help get buy in for deeper investment., • Develop strategic recommendations: Translate hands-on learning into actionable guidance for the CPO. Where should we invest our AI resources in?, • Stay bleeding-edge current: The AI space is rapidly changing, with new models and techniques regularly emerging. You’ll stay on top of the latest and encourage us to integrate new concepts., • Design agentic experiences: Go beyond chatbots and build fully agentic systems with orchestration., • Bridge technical and product thinking: Translate between what's technically possible and what creates real user value., • Cross-functional Collaboration: Collaborate with cross-functional teams across Nexford, including Learner Success, Academic Operations, Technology, and Marketing, to ensure a cohesive and seamless learner experience. Additionally, foster successful market introduction of new products, features, and experiences., • Data-Driven Decision Making: Utilize user research, data analytics, and learner feedback to assess product performance, identify areas for improvement, and inform future iterations., • Continuous Improvement: Promote a culture of continuous improvement, iterating on products and services based on feedback and data insights. Skills & Qualifications • 2-4 years working to ship features and products, with meaningful AI experience: You've built real features that real users have used. Bonus if you've worked on conversational AI, agents, or developer tools., • Vibe coding as a superpower: You can go from idea to working code fast. You're comfortable with Claude/Cursor/Copilot/Lovable/v0 and whatever comes next. You write code to think, not just to ship. You know when to polish and when to stay scrappy., • Deep curiosity about AI tools and techniques: You have strong opinions (weakly held) about RAG architectures, prompt engineering, function calling, fine-tuning, and when to use what., • Tinkerer mentality: You build side projects. You have a personal AI stack. You like to experiment., • Product taste alongside technical chops: You know the difference between a cool demo and a useful feature., • Clear communication: You can explain complex AI concepts to non-technical stakeholders to get buy-in and build a shared understanding. If you're passionate about transforming lives through education and have a proven track record of delivering exceptional customer experiences, we encourage you to apply!

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a _ (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a _ company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in _, committed to making a positive impact on its customers, employees, and communities. The Role Veeva Link supports the life sciences industry to connect with key people to improve research and care. It helps professionals to find the right people for, e.g., clinical trials, education programs, or advisory boards. This streamlined access helps to reduce the time-to-market of important drugs, conduct trials with the most relevant experts in the respective field, and spread information about new treatments to key people in the life science community. You can read more about Veeva Link on our product pages at _. As a data engineer, you focus on our data pipelines and take responsibility for a major part of the Link data processing platform. We value end-to-end ownership, which puts you into the sweet spot of finding, designing, and implementing improvements to the product's data pipelines and adjusting them to changing demands of the market. You take responsibility for features and innovation using SOLID and clean software principles, take part in the architectural enhancement process and care for the quality of the outcome. Monitoring, metrics, and general observability are part of the feature design process. We hire the same role for different engineering domains: Sourcing, Tagging, Matching, and Provisioning. Depending on the engineering domain, you will focus on different aspects. We decide together which domains fit best for you. \n What You'll Do • Work on Veeva Link’s next-gen Data Platform, • Improve our current environment with features, refactoring, and innovation, • Work with JVM-based languages or Python on Spark-based data pipelines, • Operate ML models in close cooperation with our data science team, • Experiment in your domain to improve precision, recall, or cost savings Requirements • Expert skills in Java or Python, • Experience with Apache Spark or PySpark, • Experience writing software for the cloud (AWS or GCP), • Speaking and writing in English enables you to take part in day-to-day conversations in the team and contribute to deep technical discussions Nice to Have • Experience with operating machine learning models (e.g., MLFlow), • Experience with Data Lakes, Lakehouses, and Warehouses (e.g., DeltaLake, Redshift), • DevOps skills, including terraform and general CI/CD experience, • Previously worked in agile environments, • Experience with expert systems Perks & Benefits • Comprehensive benefits package, • Annual allocations for continuous learning, development & charitable contributions, • Fitness reimbursement, • Veeva Work-Anywhere \n #RemoteUK Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world. As an equal opportunity employer, Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at _.

1Password is growing faster than ever. We’ve surpassed $400M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing and the Utah Mammoth. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Extended Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. Our Customer Success team works proactively and prescriptively to help customers get the most value from their investment in security and privacy by establishing long term relationships and acting as trusted advisors to our customers. The Customer Success Manager guides customers through established best practices by demonstrating an understanding of their structure and needs while guiding them throughout their 1Password lifecycle working closely with Onboarding and Account Executives This individual acts as the customer champion and advocate, helping increase awareness of customer needs and priorities. Customer retention is a key focus for this team member, supporting our customers in seeing the value of their investment with 1Password, and driving towards their adoption goals through proactive and reactive customer engagement. This is a remote opportunity in the UK. What we're looking for: Must communicate in English and German fluently and in written form. A proven track record with a minimum 4+ years experience managing a book of business in a SaaS or Tech Customer Success role servicing customers through strategic calls and engagement. Effective communication skills over email, the phone, or even a video call. Presenting and speaking to new people each day excites you. Your style is concise yet empathetic – with a balance of teaching and listening/learning yourself as well as knowing when to pivot in a conversation. Demonstrated experience in supporting individuals and businesses in effectively utilizing software to enhance productivity and efficiency. You’re passionate about discovering what a team needs in their workplace, and you ask Insightful open-ended questions that help you learn more about them. You enjoy translating technical terms for customers who find technology confusing or intimidating. Experienced in collaborating with C-Level executives and skilled in navigating diverse stakeholder needs to identify and drive value realization. Guiding customers through their lifecycle through email, webinars, and customized sessions; making prescriptive recommendations and helping customers achieve their desired outcomes and ensure high activation rates across their book of business. Follows defined outreach and follow-up communication processes managing data and activity of customers in tandem with the Onboarding and the Account Executive teams; and synthesizing and logging findings from customer discussions such as feature requests, customer details, and general feedback/metrics accurately. You have experience managing revenue retention - supporting your customers to drive tool adoption and prevent risk within your book of business. You are also experienced in proactively identifying opportunities for growth, partnering with Sales counterparts for expansions. Optional: You have personal experience with 1Password or another password manager. While not required, it’ll help you quickly have confidence in this role. What you can expect: Month 1 Get to know the product, our culture, the Customer Success processes, and the people you'll be working with. Learn Salesforce and Gainsight, what and how we track, and the benefits of keeping customer information within it updated. By the end of the first month, you’ll be able to guide a mid-sized customer through an intro discussion in our Customer Success process. Month 3 Can guide medium to large customers through achieving their desired goals using your product expertise and provide defined Customer Success consultations to increase their 1Password product usage, resulting in delivering optimal value for the customer. Proactively report on customers’ needs and valuable feedback so the marketing and product teams can accurately reflect messaging and prioritize the right projects to improve the product. Build and maintain a healthy account book of customers for whom you are the Success Manager. Month 6 Have developed your best personal approach and rhythm, analysed the Customer Success processes to maximize your customer engagement, and begun collaborating with cross-functional peers in internal teams. Have a steady book of customers with whom you’ve learned needs, built rapport, and put Success plans in place influencing the broader Customer Success metrics and processes. Contributes to the success of the Customer Success team in an ongoing capacity through team goals and metrics (including operational, NPS, revenue, activation and performance metrics). Please note that this job description is subject to modifications and is not an exhaustive list of responsibilities. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, _. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged at 1Password—it's an essential part of how we will be successful at 1Password. Our approach to work We recognize the power of both in person collaboration and remote work. Some roles are designated as remote-first, with an expectation that individuals work from their homes majority of the time, while others are designated as in-office roles, with an expectation of being on-site on a regular basis. We recognize that certain roles benefit from regular, in-person connection to support collaboration, team cohesion, and customer engagement. For all roles, occasional travel may be required. This includes things like: department-wide offsites, quarterly department meetings and periodic customer events. These events are typically held in varying locations across Canada, USA and/or EMEA. In leadership roles, you can expect to travel once per month on average. Note: All go-to market roles will have an in-person onboarding in Toronto. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. This posting is for an existing vacancy. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing . For additional information see our _.

At Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide. Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe. Join us on this journey to redefine resource management—and change lives along the way. As a Data Analyst at Air Apps, you will be responsible for analyzing and interpreting data to drive business insights and optimize product performance. You will create reports, dashboards, and performance metrics to help teams make informed decisions and improve user experience. This role requires a data-driven mindset, strong analytical skills, and experience with visualization tools to turn complex data into actionable insights. This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts. Analyze user behavior, product performance, and key business metrics to identify trends and opportunities. Create and maintain interactive dashboards and reports using tools like Tableau, Looker, Power BI, or Google Data Studio. Collect, clean, and structure large datasets to ensure accuracy and usability. Define and track KPIs for marketing, product, and business performance. Work with SQL, Python, or R to extract, analyze, and manipulate data. Collaborate with product managers, engineers, and marketing teams to provide data-driven insights. Conduct A/B testing and experiment analysis to improve product features and user engagement. Identify bottlenecks and opportunities in user journeys and customer funnels. Present findings in a clear and compelling way to stakeholders and leadership teams. Stay up to date with industry trends, analytics best practices, and emerging data tools. Around 3+ years of experience in data analysis, business intelligence, or a related field. Proficiency in SQL for data querying and manipulation. Experience with data visualization tools (Tableau, Looker, Power BI, Google Data Studio). Strong analytical skills with experience in Python or R for data analysis. Knowledge of A/B testing methodologies and statistical analysis. Experience with Google Analytics, Mixpanel, Amplitude, or similar user analytics tools. Strong problem-solving skills and ability to communicate insights to non-technical stakeholders. Experience working with large datasets and cloud-based data warehouses (BigQuery, Redshift, Snowflake). Familiarity with ETL processes and data pipeline optimization is a plus. Ability to work in a fast-paced, data-driven environment and manage multiple projects. Apple hardware ecosystem for work. Annual Bonus Top-tier Health and Life Insurance for peace of mind. Transportation Budget to support your commute needs. Coverflex benefits package for meal allowances, well-being, and more. Childcare support. Air Conference - an opportunity to meet the team, collaborate, and grow together. Pension Fund to support your long-term financial planning. Urban Sports Club membership to keep you active. Meals 100% free at the hub. At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger. At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

AI Engineer | Up to £110,000 | Hybrid (Yorkshire / London) I'm working on a newly created opportunity with an organisation investing heavily in AI, innovation and emerging technology. This isn't a traditional software engineering role, nor is it an AI strategy or consultancy position. We're looking for a hands-on engineer with strong TypeScript/Node.js experience who is already using modern AI tooling and AI-native development approaches to accelerate development, prototype solutions and solve real business problems. The role sits within a small, highly autonomous team responsible for identifying opportunities, rapidly testing ideas and building AI-powered solutions that can be deployed across multiple business areas. You'll be given the freedom to experiment, challenge assumptions, fail fast and scale what works. We're particularly interested in people with: Strong TypeScript / Node.js engineering experience Experience building and deploying production systems in AWS Experience working with LLMs, agentic workflows and RAG architectures Curiosity around emerging technologies and AI-native development Strong stakeholder engagement skills The ability to move quickly in ambiguous environments This is not a role for someone who wants to sit behind a ticket queue. It's for someone who enjoys solving problems, building prototypes, learning quickly...

dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail – one of the world’s most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro. Tesco Media and Insight Platform is a partnership between Tesco, the UK’s largest grocery retailer, and dunnhumby, a global leader in Customer Data Science. Together, we always put the customer first. Fuelled by data from over 24 million Clubcard holders, our closed-loop measurement helps brands understand consumer behaviour and ensures that every pound of advertising budget is spent targeting the right customer, at the right time, with the right message, across the full marketing funnel. We're here to help brands Shape What Britain Buys. We’re looking for a Media Channel Executive who expects more from their career. Sitting within the Sales Enablement team, you will be an integral part to driving the success of our sales team by developing and executing strategies to enhance their capabilities, responsible for implementing programs, tools, and resources, to achieve their targets effectively. The role involves collaborating closely with cross-functional teams, including Sales, Marketing, Product, and Training, to ensure alignment and integration of sales enablement initiatives. Your focus will be on the development, delivery and optimisation of our online media channels delivered through Tesco.com, during an exciting time of transformational change for the Tesco media business. What you'll be working on • Own the executional side of Tesco.com’s digital media strategy, ensuring efficient delivery across display, sponsored media, brand events, and partnerships., • Supporting the Media Channel Leads and Managers in the launch of new propositions in the digital channel and monthly governance across wider Tesco stakeholder group., • Become proficient across Tesco.com’s digital media channels. Empower Media Sales teams by sharing knowledge, best practices, and training on digital media guidelines and capabilities., • Assisting in the development of measurement and case studies across digital channels., • Build strong networks internally at Tesco Media and Tesco, partnering with product, tech, data science, marketing, and media sales teams to ensure alignment and effective delivery., • Utilising insight and planning tools to build compelling marketing collateral that can be used by Media Sales teams to inspire clients into buying into our solutions and empower the sales team to take them to market., • Help foster a strong internal culture through engaging communications that keep the Media Sales team aligned, informed, and inspired. What we expect from you • Experience in digital media planning and/or e-commerce within a marketing/advertising team or media agency., • Platform activation experience within Sponsored Products such as Epsilon, Programmatic or Search channels., • Ability to work in a fast-moving team and effectively manage multiple projects, priorities and stakeholders at the same time., • Experience in managing external client relationships., • Knowledge and passion for Retail or Media, with a strong understanding of taking a ‘customer first’ approach., • Experience using data and insights to build a compelling media solution and curate a narrative to take out to market., • A strong collaborator – showing evidence of collaborating and coordinating with internal departments and teams to get things done., • Excellent communication and presentation skills., • Excellent time management skills, ability to work calmly under pressure whilst meeting deadlines. What you can expect from us We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found _

Coach Product Managers across the organisation, instilling a customer-first, experiment-first mindset and raising the bar for data capabilities and product craft. You’ll work closely with Zego’s Leadership Team on strategic decisions, lead cross-functional programmes, and mentor Product Managers

Description Ripjar was founded by veterans of GCHQ to bring national security-grade intelligence tools to the fight against financial crime. Financial crime funds human trafficking, terrorism, corruption and sanctions evasion on a global scale, and the organisations on the front line need technology built to match the threat. Today, Ripjar's AI-native software and data fusion products are used by governments, the world's largest banks, and global enterprises to automate the detection, investigation and monitoring of serious financial crime. Every day, hundreds of customers and thousands of daily active users rely on the platform to screen hundreds of millions of names for risk in real time, prevent money laundering and stop terrorist financing. If you want your work to matter, this is where it happens. We are a remote first team, with a head office based in Cheltenham. This position is open to UK wide candidates. If you are based near Cheltenham, you are more than welcome to work from our office at any time. The role: We are looking for a motivated, curious, and enthusiastic Product Manager to join our growing product team. This is not a role where we expect you to have seen it all before or be an expert in every discipline. We believe great product instincts combined with the right attitude will take you far, and this role is designed to be a launchpad for your career. Product management at Ripjar is beautifully varied, and we want you to find your own strengths. While you will get a solid grounding in the entire product lifecycle, you will have the flexibility to lean into the areas that excite you most as you develop: • The Tech and Delivery Side: Partnering closely with world-class engineers and architects to build cutting-edge systems., • The Commercial and Marketing Side: Shaping product strategy, exploring pricing models, and helping position our products in the global market., • The Operational Side: Working on how our complex AI systems are deployed and implemented effectively for our clients. Bring Your Ideas to Shape How the World Fights Financial Crime with AI AI is at the heart of what we do. We don't just want you to manage a roadmap; we want you to bring your own creativity and ideas to the table. You will help us think about how we can leverage the next generation of AI tools and processes to make a meaningful difference. If you are fascinated by the fast-moving world of artificial intelligence and want to apply it to real-world challenges, you will thrive here. What you'll be doing: • Lead and Shape Initiatives: Be responsible for key product features from concept through to launch, working alongside UX designers, engineers, and QA specialists., • Listen and Learn: Engage directly with our customers and internal teams to deeply understand user needs and domain challenges., • Build Momentum: Act as an Agile product owner by writing user stories, collaborating team ceremonies, and helping the team deliver., • Experiment with Strategy: Contribute fresh ideas to our product development, marketing strategies, and pricing approaches. Requirements What we're looking for: We are keeping things simple. We aren't looking for a long list of certificates; we are looking for potential, adaptability, and commitment. • Some Product Experience: You have a solid grounding in product management principles, perhaps as an Associate PM, Product Analyst, or a closely related role in a fast-moving tech environment., • B2B or SaaS Exposure: You have some familiarity with how enterprise software or SaaS products are built and delivered., • Curiosity Around AI: You don't need a degree in data science, but you should be genuinely excited by AI technology and eager to explore how it can solve complex problems., • Strong Communication: You know how to collaborate cross-functionally, listen to different perspectives, and build trust with a team., • Bonus Points: Any exposure to financial services, compliance, or RegTech is a great plus, but absolutely not a requirement. Benefits Why we think you’ll enjoy it here: • Competitive base salary DOE, • 25 days annual leave + birthdays off, rising to 30 days after 5 years of service, • Christmas shutdown, • Fully remote working, • 35 hour working week, • Flexible working hours., • Private Family Healthcare, • Life Assurance, • Pension salary sacrifice, • Employee Assistance Programme, • Company contributions to your pension, • Enhanced maternity/paternity pay, • The latest tech including a top of the range MacBook Pro, • There is a well-stocked pantry with food, snacks and drinks when in the office

Comet is building the development platform for teams who want to ship robust, reliable, and responsible AI applications. Opik, our open source LLM evaluation framework, has quickly become one of the most popular tools in the space. Our experiment management platform is used by data scientists at companies like Uber, Netflix, and Etsy. Tens of thousands of researchers, engineers, academics, and hobbyists use Comet every day to build the future of AI. Working at Comet will give you access to the most exciting work being done in all areas of machine learning. Some of the top researchers and companies working on self-driving cars, drug discovery, particle research, diffusion models, and LLMs use Comet every day. Your work has the potential to accelerate the development of some of the most impactful technology in the world, and you will be doing it alongside a team of passionate, caring individuals. If that sounds exciting, Comet is the right place for you. Comet is backed by more than $63 million in venture capital funding and powers some of the best machine-learning teams in the world, including Netflix, Uber, Etsy, and Mobileye. We are a remote-first company with offices in New York City (USA) and Tel Aviv (Israel). You are: We are looking for a product builder with strong execution instincts and a deep understanding of developers. You care about shipping fast, learning from real users, and improving the product continuously, not just writing specs. You think like a founder, are comfortable getting technical (including writing code when it helps you move faster), and thrive in open feedback loops with our community of builders. You partner tightly with engineering and design, contribute clarity and conviction to decision-making, and are energized by working on products that are deeply technical and meaningful to the future of AI. Responsibilities: • Own and ship high-impact features within the Opik product, end to end from definition to launch, • Bring clarity to ambiguous problems and make fast, pragmatic product decisions, • Engage directly with developers and early users to gather feedback and rapidly iterate, • Work closely with engineering and design to drive execution with urgency and clarity, • Monitor adoption and performance of shipped features and use learnings to improve quickly, • Share updates and priorities with the open-source community and internal stakeholders, • 3+ years of Product Management experience, delivering highly successful and innovative products that you're deeply proud of, • Must have design and UX sensibilities, • Must have proven experience building developer tools, • Experience shipping high-quality products from planning to launch to maintenance, • Ability to collaborate with engineers on technical architecture and product implementation, • Ability to communicate product value and opportunities across engineering, marketing, sales, individual users, and enterprise customers, • Proficiency using AI tools Bonus: • Experience training machine learning models or building MLOps / LLMOps tooling, • Experience as a growth PM in the developer tooling space What We Offer: • Competitive base salary - based on proven experience, skills and location., • Competitive benefits package., • Flexible working hours and remote/Hybrid work options., • Opportunities for professional growth and development., • A collaborative and innovative work environment., • The chance to work with cutting-edge technologies and projects., • This role will be located in Europe or Israel working with a global team (large presence in the US, Tel Aviv and Europe), some flexibility with work hours is required. Comet is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees without regard to race, religion, color, sex, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, uniform service member status, marital status, pregnancy, age, medical condition, physical or mental disability, genetic information/characteristics, and any other characteristic protected by State or Federal law.